Association of Serum Uric Acid to Lymphocyte Ratio with Clinical Outcomes in Cerebral Venous Sinus Thrombosis.

IF 4.2 2区 医学 Q2 IMMUNOLOGY Journal of Inflammation Research Pub Date : 2024-11-21 eCollection Date: 2024-01-01 DOI:10.2147/JIR.S490407
Jiawei Zhao, Kai Liu, Qinqin Dai, Mengmeng Zhang, Shen Li, Yuan Gao, Hongbing Liu, Xin Wang, Yuming Xu, Bo Song
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Abstract

Purpose: The serum uric acid to lymphocyte ratio (ULR) is a systemic marker of inflammation, and it has been studied as an indicator of prognosis in cardiovascular disease. This study investigates the relationship between ULR and clinical outcomes in patients with cerebral venous sinus thrombosis (CVST).

Patients and methods: A total of 636 patients with CVST were included in the study and randomly divided into a training set (n = 445) and a testing set (n = 119) in a ratio of 7:3.Logistic regression analysis was employed to analyze the risk factors for poor outcomes. The nomogram was established using the training dataset, and its predictive performance was assessed with the testing dataset.

Results: ULR accurately predicted poor outcomes in CVST and was linked to a higher likelihood of poor outcomes (OR=1.015, 95% CI: 1.003-1.026, P = 0.013). Age, infection, intracranial hypertension, coma, and intracerebral hemorrhage were independent predictors of poor outcomes in CVST. Additionally, a new nomogram incorporating ULR was constructed to predict the risk of poor outcomes in CVST patients. The nomogram demonstrated good accuracy and reliability, as shown by the receiver operating characteristic curve, calibration curve, and decision curve analysis.

Conclusion: ULR independently forecasted poor outcomes in patients with CVST. The novel nomogram incorporating ULR could provide CVST patients with personalized risk assessment and treatment plans, leading to improved patient prognosis.

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血清尿酸与淋巴细胞比值与脑静脉窦血栓临床结局的关系
目的:血清尿酸与淋巴细胞比值(ULR)是炎症的全身标志物,已被研究用作心血管疾病预后的指标。本研究调查了脑静脉窦血栓形成(CVST)患者血清尿酸与淋巴细胞比值与临床预后之间的关系:研究共纳入了 636 名 CVST 患者,并按 7:3 的比例随机分为训练集(n = 445)和测试集(n = 119)。利用训练数据集建立了提名图,并利用测试数据集评估了其预测性能:结果:ULR 可准确预测 CVST 的不良预后,并与较高的不良预后可能性相关(OR=1.015,95% CI:1.003-1.026,P=0.013)。年龄、感染、颅内高压、昏迷和脑内出血是 CVST 不良预后的独立预测因素。此外,还构建了一个包含 ULR 的新提名图来预测 CVST 患者不良预后的风险。接受者操作特征曲线、校准曲线和决策曲线分析表明,该提名图具有良好的准确性和可靠性:结论:ULR 可独立预测 CVST 患者的不良预后。结合超低密度脂蛋白胆固醇的新型提名图能为 CVST 患者提供个性化的风险评估和治疗方案,从而改善患者的预后。
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来源期刊
Journal of Inflammation Research
Journal of Inflammation Research Immunology and Microbiology-Immunology
CiteScore
6.10
自引率
2.20%
发文量
658
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.
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